[SY-F2] Large scale phase-field simulations of solid state sintering
Ceramic materials are of high interest for technical applications due to their excellent material properties regarding hardness, strength, density, wear resistance or corrosion resistance.
Due to the dependence of the material properties on the microstructure, a deep understanding of the sintering process is needed to produce advanced ceramics with tailored properties.
During the solid state sintering process the initially loose powder of green body densifies and particles coarsen.
This process is driven by the reduction of the interfacial energy from the surface as well as the grain boundaries.
Depending on the different mechanisms, volume, surface and grain boundary diffusion, the densification and grain growth rate in the microstructure can be influenced.
However, due to the complex interplay of the material and process parameters, it is challenging to predict the microstructure evolution.
In this talk, a phase-field model is presented to investigate the microstructure evolution during solid state sintering.
The model is based on the grand potential approach and considers the different diffusion mechanisms which can vary by multiple magnitudes.
To resolve realistic green bodies with multiple thousand particles and different partial size distributions, large scale domains are required.
To efficiently investigate such systems, the model is implemented in a highly optimized manner in the massive parallel phase-field solver framework PACE3D.
Therefore the solver is optimized on various levels and the kernels are explicitly vectorized using intrinsics.
In the first part of this talk, the influence of the different diffusion mechanisms on the microstructure evolution for two and four particle settings are validated.
In the second part, the densification and grain growth depending on the active diffusion mechanisms are investigated using realistic green bodies with multiple thousand grains.
Also the effect of different initial densities and partial size distributions are investigated.
Due to the dependence of the material properties on the microstructure, a deep understanding of the sintering process is needed to produce advanced ceramics with tailored properties.
During the solid state sintering process the initially loose powder of green body densifies and particles coarsen.
This process is driven by the reduction of the interfacial energy from the surface as well as the grain boundaries.
Depending on the different mechanisms, volume, surface and grain boundary diffusion, the densification and grain growth rate in the microstructure can be influenced.
However, due to the complex interplay of the material and process parameters, it is challenging to predict the microstructure evolution.
In this talk, a phase-field model is presented to investigate the microstructure evolution during solid state sintering.
The model is based on the grand potential approach and considers the different diffusion mechanisms which can vary by multiple magnitudes.
To resolve realistic green bodies with multiple thousand particles and different partial size distributions, large scale domains are required.
To efficiently investigate such systems, the model is implemented in a highly optimized manner in the massive parallel phase-field solver framework PACE3D.
Therefore the solver is optimized on various levels and the kernels are explicitly vectorized using intrinsics.
In the first part of this talk, the influence of the different diffusion mechanisms on the microstructure evolution for two and four particle settings are validated.
In the second part, the densification and grain growth depending on the active diffusion mechanisms are investigated using realistic green bodies with multiple thousand grains.
Also the effect of different initial densities and partial size distributions are investigated.